IMG_20160316_193944 Natural Language Processing with Python
This was the first of five presentations on natural language processing by Diana (center, standing), during which she introduced us to the basics of natural language processing. She did several demos of analysis you can do on a piece of text (a corpus) with Python Natural Language Toolkit (NLTK). Examples of such actions are reading in the text, tokenizing it, and tagging parts of speech, which can involve a lot of interesting ambiguity.
Then we ventured deeper into natural language processing to discuss where and how it is used, including such fields as sentiment analysis. Diana talked about challenges present in those fields, such as for example determining similarity between concepts. We need to be able to handle that so as to extract accurate meanings from texts. This is where ontologies can be handy.